Zobrazeno 1 - 10
of 1 127
pro vyhledávání: '"Karaman Ibrahim"'
Autor:
Mulukutla, Mrinalini, Person, A. Nicole, Voigt, Sven, Kuettner, Lindsey, Kappes, Branden, Khatamsaz, Danial, Robinson, Robert, Salas, Daniel, Xu, Wenle, Lewis, Daniel, Eoh, Hongkyu, Xiao, Kailu, Wang, Haoren, Saini, Jaskaran Singh, Mahat, Raj, Hastings, Trevor, Skokan, Matthew, Attari, Vahid, Elverud, Michael, Paramore, James D., Butler, Brady, Vecchio, Kenneth, Kalidindi, Surya R., Allaire, Douglas, Karaman, Ibrahim, Thomas, Edwin L., Pharr, George, Srivastava, Ankit, Arróyave, Raymundo
Algorithmic materials discovery is a multi-disciplinary domain that integrates insights from specialists in alloy design, synthesis, characterization, experimental methodologies, computational modeling, and optimization. Central to this effort is a r
Externí odkaz:
http://arxiv.org/abs/2405.13132
Autor:
Hastings, Trevor, Mulukutla, Mrinalini, Khatamsaz, Danial, Salas, Daniel, Xu, Wenle, Lewis, Daniel, Person, Nicole, Skokan, Matthew, Miller, Braden, Paramore, James, Butler, Brady, Allaire, Douglas, Karaman, Ibrahim, Pharr, George, Srivastava, Ankit, Arroyave, Raymundo
In this study, we introduce a groundbreaking framework for materials discovery, we efficiently navigate a vast phase space of material compositions by leveraging Batch Bayesian statistics in order to achieve specific performance objectives. This appr
Externí odkaz:
http://arxiv.org/abs/2405.08900
Autor:
Paramore, James D., Butler, Brady G., Hurst, Michael T., Hastings, Trevor, Lewis, Daniel O., Norris, Eli, Barkai, Benjamin, Cline, Joshua, Miller, Braden, Cortes, Jose, Karaman, Ibrahim, Pharr, George M., Arroyave, Raymundo
In this paper, a synergistic computational/experimental approach is presented for the rapid discovery and characterization of novel alloys within the compositionally complex (i.e., "medium/high entropy") refractory alloy space of Ti-V-Nb-Mo-Hf-Ta-W.
Externí odkaz:
http://arxiv.org/abs/2405.07130
Autor:
Zadeh, Sina Hossein, Cakirhan, Cem, Khatamsaz, Danial, Broucek, John, Brown, Timothy D., Qian, Xiaoning, Karaman, Ibrahim, Arroyave, Raymundo
The martensitic transformation in NiTi-based Shape Memory Alloys (SMAs) provides a basis for shape memory effect and superelasticity, thereby enabling applications requiring solid-state actuation and large recoverable shape changes upon mechanical lo
Externí odkaz:
http://arxiv.org/abs/2402.12520
Publikováno v:
Phys. Rev. B 107, 144207 (2023)
We studied Ni50+xTi50-x with compositions up to x = 2, performing 47Ti and 49Ti nuclear magnetic resonance (NMR) measurements from 4 K to 400 K. For large x in this system, a strain-glass appears in which frozen ferroelastic nano-domains replace the
Externí odkaz:
http://arxiv.org/abs/2307.15312
Autor:
Sheikh, Sofia, Vela, Brent, Honarmandi, Pejman, Morcos, Peter, Shoukr, David, Kotb, Abdelrahman Mostafa, Arroyave, Raymundo, Karaman, Ibrahim, Elwany, Alaa
Designing alloys for additive manufacturing (AM) presents significant opportunities. Still, the chemical composition and processing conditions required for printability (ie., their suitability for fabrication via AM) are challenging to explore using
Externí odkaz:
http://arxiv.org/abs/2304.04149
Autor:
Sheikh, Sofia, Ranaiefar, Meelad, Honarmandi, Pejman, Vela, Brent, Morcos, Peter, Shoukr, David, Arroyave, Raymundo, Karaman, Ibrahim, Elwany, Alaa
In additive manufacturing, the optimal processing conditions need to be determined to fabricate porosity-free parts. For this purpose, the design space for an arbitrary alloy needs to be scoped and analyzed to identify the areas of defects for differ
Externí odkaz:
http://arxiv.org/abs/2304.04113
Publikováno v:
MATEC Web of Conferences, Vol 271, p 01008 (2019)
In this work, the magnetization response of FeMnAlNi superelastic shape memory alloys (SMAs) is investigated under stress. Wires with a diameter of 0.5 mm were subjected to repeated abnormal grain growth heat treatments in order to obtain bamboo stru
Externí odkaz:
https://doaj.org/article/3860b04d58f44359a9b314a7f489f9ee
Publikováno v:
MATEC Web of Conferences, Vol 271, p 01005 (2019)
The effects on sample size on abnormal grain growth in inexpensive FeMnAlNi shape memory alloy (SMAs) wires and rod were investigated. It was shown that repeated heat treatments between single phase (bcc) and two phase (bcc + fcc) region resulted in
Externí odkaz:
https://doaj.org/article/c2122ed7a7cb4a48acd1873d9260ff16
Autor:
Zadeh, Sina Hossein, Behbahanian, Amir, Broucek, John, Fan, Mingzhou, Tovar, Guillermo Vazquez, Noroozi, Mohammad, Trehern, William, Qian, Xiaoning, Karaman, Ibrahim, Arroyave, Raymundo
In this study, we demonstrate how the incorporation of appropriate feature engineering together with the selection of a Machine Learning (ML) algorithm that best suits the available dataset, leads to the development of a predictive model for transfor
Externí odkaz:
http://arxiv.org/abs/2302.02153